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Original Research Papers

Statistical and dynamical downscaling of precipitation over Spain from DEMETER seasonal forecasts

Authors:

E. Díez,

Instituto Nacional de Meteorología (INM), C/Leonardo Prieto Castro 8, 28040 Madrid, ES
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C. Primo,

Instituto Nacional de Meteorología, CMT/CAS, Santander, ES
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J. A. García-Moya,

Instituto Nacional de Meteorología (INM), C/Leonardo Prieto Castro 8, 28040 Madrid, ES
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J. M. Gutiérrez,

Dept. of Applied Mathematics and Computer Science. University of Cantabria, 39005 Santander, ES
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B. Orfila

Instituto Nacional de Meteorología (INM), C/Leonardo Prieto Castro 8, 28040 Madrid, ES
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Abstract

Statistical and dynamical downscaling methods are tested and compared for downscaling seasonal precipitation forecasts over Spain from two DEMETER models: the European Centre for Medium-Range Weather Forecasts (ECMWF) and theUKMeteorological Office (UKMO). The statistical method considered is a particular implementation of the standard analogue technique, based on close neighbours of the predicted atmospheric geopotential and humidity fields. Dynamical downscaling is performed using the Rossby Centre Climate Atmospheric model, which has been nested to the ECMWF model output, and run in climate mode for six months. We first check the performance of the direct output models in the period 1986–1997 and compare it with the results obtained applying the analogue method. We have found that the direct outputs underestimate the precipitation amount and that the statistical downscaling method improves the results as the skill of the direct forecast increases. The highest skills — relative operating characteristic skill areas (RSAs) above 0.6 — are associated with early and late spring, summer and autumn seasons at zero- and one-month lead times. On the other hand, models have poor skill during winter with the exception of the El Niño period (1986–1988), especially in the south of Spain. In this case, high RSAs and economic values have been found. We also compare statistical and dynamical downscaling during four seasons, obtaining no concluding result. Both methods outperform direct output from DEMETER models, but depending on the season and on the region of Spain one method is better than the other. Moreover, we have seen that dynamical and statistical methods can be used in combination, yielding the best skill scores in some cases of the study.

How to Cite: Díez, E., Primo, C., García-Moya, J.A., Gutiérrez, J.M. and Orfila, B., 2005. Statistical and dynamical downscaling of precipitation over Spain from DEMETER seasonal forecasts. Tellus A: Dynamic Meteorology and Oceanography, 57(3), pp.409–423. DOI: http://doi.org/10.3402/tellusa.v57i3.14698
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  Published on 01 Jan 2005
 Accepted on 10 Jan 2005            Submitted on 25 Apr 2004

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